Merge branch 'main' of https://github.com/CSAILVision/ADE20K into main

README.md

@@ -1,2 +1,32 @@
-# ADE20K
-ADE20K Dataset
+# ADE20K Dataset
+This is the repository for the [ADE20K](http://groups.csail.mit.edu/vision/datasets/ADE20K/) dataset. We provide some [starter code](notebooks/ade20k_starter.ipynb) to analyze the dataset, basic statistics of the data and links to existing projects using ADE20K.
+
+## Overview
+write
+
+## Download dataset
+To download the dataset, register in [this link](http://groups.csail.mit.edu/vision/datasets/ADE20K/request_data/). Once you are approved you will be able to download the data, following the [terms of use](http://groups.csail.mit.edu/vision/datasets/ADE20K/terms).
+
+## ADE20K related projects
+Here is a list of existing challenges and projects using ADE20K data. Contact us if you would like to include the dataset in a new benchmark.
+* [MIT Scene Parsing Benchmark](https://github.com/CSAILVision/sceneparsing): A semantic segmentation benchmark, using a subset of 250 classes from ADE20K
+* [Robust Vision Challenge](http://www.robustvision.net/): A challenge to evaluate the robustness of models to multiple datasets and tasks, including semantic and instance segmentation, depth prediction, optical flow, etc.
+
+## Citation
+If you use this data, please cite the following paper:
+
+Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., & Torralba, A. (2019). Semantic understanding of scenes through the ade20k dataset. International Journal of Computer Vision, 127(3), 302-321.
+
+```
+@article{zhou2019semantic,
+  title={Semantic understanding of scenes through the ade20k dataset},
+  author={Zhou, Bolei and Zhao, Hang and Puig, Xavier and Xiao, Tete and Fidler, Sanja and Barriuso, Adela and Torralba, Antonio},
+  journal={International Journal of Computer Vision},
+  volume={127},
+  number={3},
+  pages={302--321},
+  year={2019},
+  publisher={Springer}
+}
+```
+